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Who Are The Market Makers? What Do They Do? WHY?

Summary We constantly talk about the market makers [MMs] and their activities. It is apparent from their comments, that many readers have varied, limited views about the function of MMs, their status, regulation, objectives, and their compensations. A late-August irregularity in securities markets functioning created knowledgeable analysis and comment discussing all that, much of which may help our perspective and understanding. The August 24 th Market Opening Problem The casual, intermittent user of US equities markets may not even be aware that there was a problem or the seriousness of its condition. By 10:30 am NYC time that Monday, things were pretty much back to near normal, and trading the rest of the day was being conducted about as usual. But the previous hour or two nearly shut down the ability of investors and speculators to carry out their planned transactions. Many unpublicized DK (don’t know) trades complicated the end of day settlement processes. Here is how one deeply involved observer firm described what happened: Recent Volatility in the US Equity Market In late August 2015, the US equity market experienced a rapid spike in volatility as global market sentiment weighed bearishly on stocks. During that period, the VIX volatility index doubled and equity-trading volumes surged as investors reassessed global growth prospects and inflation expectations. Market activity on August 24 was particularly extreme. Before the market opened, global equity markets were down 3% to 5% and the e-mini S&P 500 future was limit down 5% in pre-market trading before wider price curbs went into effect at 9:30 am. Due to these pre-opening factors, the morning began under selling pressure with substantial order imbalances at the open as investors reacting to global macro concerns flooded the marketplace with aggressive orders to sell (that is, orders to sell without any restrictions as to price or time frame such as market and stop-loss sell orders). According to the New York Stock Exchange (NYSE), the volume of market orders on August 24 was four times the number of market orders observed on an average trading day. Extensive use of market and stop-loss orders overwhelmed the immediate supply of liquidity, leading to severe price gaps that triggered numerous LULD (limit-up, limit-down) trading halts. The confluence of these factors contributed to aberrant price swings and volatility across the US equity market. For example, the S&P 500 index was at a low, down 5.3%, within the first five minutes of trading, then rallied 4.7% off the lows before selling off again late in the session to close down 3.9%. Bellwether stocks such as JPMorgan (NYSE: JPM ), Ford (NYSE: F ), and General Electric (NYSE: GE ) saw temporary price declines in excess of 20%. Individual stocks as well as ETPs (exchange traded products) and CEFs (closed end funds) experienced significant dislocations after the opening followed by unusual volatility. Transparency and Information Flow Price transparency and information flow in the US equity market were curtailed from the start, forming one of the key contributors to the day’s events. Anticipating widespread volatility, NYSE invoked Rule 48 prior to the open. NYSE Rule 48 suspends the requirements to make indications regarding a stock’s opening price and to seek approval from exchange floor officials prior to opening a stock. By suspending time-consuming manual procedures, this action should have permitted Designated Market Makers (DMMs) to open stocks more quickly and effectively. However, this rule had the unintended effect of limiting pre-open pricing information in securities, especially for any stocks experiencing delayed opens. Although DMMs actively worked to facilitate a prompt open for all securities, the opening auction was considerably delayed for an extensive number of stocks. At 9:40 am, nearly half of NYSE-listed equities had yet to begin normal trading. These delays, along with the absence of pre-open indications, impeded the normal flow of information, which market makers and other participants rely upon to perform their customary activities with respect to the market open. Without this information, and with many securities experiencing delayed openings, correlations snapped between prices for securities in the same industry or ETPs tracking identical benchmarks deviating significantly from one another. In financials, for example, JPMorgan experienced a sharp decline, while Morgan Stanley (NYSE: MS ) did not. The basis between futures and cash prices for the S&P 500 index also widened considerably – futures traded at a 1.66% discount to the corresponding equity basket. These dislocations heightened uncertainty in the market because the validity of automated pricing models becomes challenged when there are meaningful disparities between the prices of normally correlated securities. Additionally, since many of the computerized processes, which support market making, rely on futures as a reference asset, the ability of market makers to efficiently allocate capital and price risk was inhibited. Market makers faced further uncertainty on the cancellation of potentially “erroneous trades,” adding to their reluctance to trade. The lack of price transparency impaired the ETP “arbitrage mechanism” because market makers were unable to rely upon price information for individual stocks to determine when arbitrage opportunities exist between the ETP and its underlying basket, and to hedge their positions. In the absence of the necessary data, many market makers ceased arbitraging US equity ETPs. Exchange-Traded Products The market forces discussed above led to a temporary breakdown in the arbitrage mechanism of many ETPs. 327 ETPs experienced LULD halts on August 24. Many ETPs also experienced brief periods where they traded at significant discounts to the value of their underlying portfolio holdings. As a result, the events of August 24 left many investors dissatisfied with the prices at which trades were executed and raised concerns about the functioning of markets and ETPs. Further, like individual stocks, the confluence of order imbalances, lack of information flow, and opening issues contributed to differing experiences, even for comparable ETPs. Retail investors who had standing stop-loss orders were especially impacted – once the stop price was reached, the orders were converted into market orders, which were often executed at prices that were markedly lower than the stop price. As stop-loss orders are typically intended to be used to mitigate losses, investor education about the risks of stop-loss orders should be significantly increased. To that end, Figure 1 may be helpful. Figure 1 (click to enlarge) Now You Probably Know More Than You Want And there is even more complexity involved. But the necessary message is that in a trillion dollar a day market complex, lots of actions need to be coordinated. Computer programs that expedite actions have rigidities that need to be softened in some circumstances by human judgment. Often that is where market makers [MMs] get involved. Several of the key MM functions and responsibilities are outlined in Figure 2 Figure 2 (click to enlarge) Source: BlackRock Capital Management Figure 3 identifies the principal roles of MMs as providers of liquidity, the usual MM function thought of when the subject of market makers comes up. Figure 3 (click to enlarge) Source: BlackRock Capital Management Key to understanding these roles are the impact they have on prices and price trends. The size of capital involved in typical transactions is a principal determinant. That makes the first listed category of Liquidity Provider, the block trade facilitating broker-dealer, the most significant stock price impactors of MMs by far. These are irregular but frequently occurring, multimillion-dollar trades. Each one typically has the price impact potential to step away from the posted last trade and the current bid~offer quote by a full percent or more. Skillful execution may prevent such a change, or encourage it. Trade and market savvy are important resources, along with arbitrage experience. Firms engaging in the block trade business are often vertically integrated or diversified in their MM activities into several other or all of the roles listed. Exchange-registered market makers tend to be the traffic cops of the current day exchange world and have procedural influence that affords stature in the internal community. Their exposure to the public is usually quite limited, but their day-in, day-out functions may be essential. The remains of the exchange floor specialist system are here. Wholesale MMs serving regional brokers are essentially an internal function of the MM community and are among the least influential as to procedure or securities prices. Technology dominates the electronic MMs, earning them frequency and pervasiveness of presence in number of trades. The billions of shares regularly traded could not be exchanged without this support. But the typical price changes involved from last trade tends to be tiny and highly mechanistic. Their principal contribution is immediacy of executions at low cost. The high-frequency arbitrageurs or HFT players are the intellectual and market savvy step-outs of the electronic MM organizations. Their influence is in the bid~offer realm more than in the trade volume arena. They are constantly sniffing quotes to find risk-free arb opportunities, and individual investors rarely are aware of their presence. But their reach is extensive and they are a liquidity-providing influence. Competition hones their honesty, as a group. Their accomplishments financially tend to be a basis point at a time, just a million times over. They are expert exploiters of the leverage of time. For those interested in the full complexities of the market making process here is the complete BlackRock discussion and their recommendations for market operating revisions. Some of the underlying problems go back to the 1987 “portfolio insurance” market failure debacle. Conclusion Market makers come in a variety of flavors and perform many functions essential to the power and value of today’s equity markets. Where their influence to the advantage of individual investors is the greatest is in their service to those investment organizations that must trade in market-disrupting units because of their size. That limitation of size is unavoidable since the economic basis for their investing businesses is in the amount of capital under their management. They are active investors in order to utilize their info-gathering intelligence resources. But the advantage for us is that they use the arbitrage skills of trusted market making firms to provide the other side of those big trades and the temporary financial liquidity to acquire or dispose of the thousands of shares regularly involved. In the process of MMs hedging the risk to their capital, what is revealed is the extent of the risk believed to be present. Those self-protective actions and the implicit price-range forecasts prove to be useful guides as to future specific price moves, on a very comparable base among equity investments of wide diversity.

How I’ll Use What I Learned From My Premature Buy Of SVXY

Summary August 25 — a special day. On Seeking Alpha I urged being long SVXY and CBOE first publicly exposed its 9-day time horizon Volatility Index, accompanying the 30-day index. Market-makers and prop traders use VIX-based securities in their hedging. The longer the time to expiration of the contracts involved, the larger the uncertainty, the higher the cost. CBOE insiders had watched VXST, the new index, behavior privately for months before its release. Its shorter time horizon can advantage arbitrages and reduce capital haircuts. It’s embrace by other investment professionals and by the public was anticipated, but not certain. It turned out to have a dramatic effect on the established, longer-time index. On October 8th trading will begin in options on the VXST, further elaborating the shorter-term VIX-index securities inter-relationships web. Then we will have better expectations information. Meanwhile, tail wagging the dog? The CBOE has had since August 25 to see how options on the VXST should behave. No doubt they are conducting internal training sessions to encourage rational member trading activities. I have to believe they also learned from market reactions since August 25. Figure 1 shows how hedger expectations for the longer-term VIX index changed at that point. Figure 1 (used with permission) The VIX index is, excuse the expression, volatile. The forecast ranges for the index in Figure 1 are derived in the same way as our market-maker forecast reports on stocks and ETFs. The only difference is that the hedging in index derivatives is done in markets not easily accessible by individual investors, at a scale not inviting to personal portfolios. It should be evident that prior to late August this year the 30-day volatility index had a fairly reliable bottom around 12, with upper expectations reaching into the area of 20. Oscillations in that range provided upside excursions of as much as 75% {(20-12) / 12} and might occur in a week or two. Playing that game adroitly (flawlessly) for a year or two could earn a comfortable retirement for generations of the family. But since August 25, there’s a new sheriff in Dodge. Whether he has brought more or less law to town is not yet evident. Madam CBOE’s establishment appears to have taken on a new vibrancy in the company of VXST. What it has meant for the ProShares Short VIX Short-Term Futures ETF (NYSEARCA: SVXY ) is alluded to in Figure 2. Figure 2 (click to enlarge) My guess is that there’ll be lots of moderately-restrained fun and adventure in town until the court comes to session, starting on October 8th. Then we’ll see what his honor Mr. Market has to say in judgment. Conclusion Stay tuned for intra-day thrills and spills while those with short-time horizons have their fun, adventures, greed and fear. Meanwhile, those with longer visions (out to the next calendar quarter at least) think there’s already lots more upside than downside among portfolio investment candidates. Check out yesterday’s market profile in Figure 3. Figure 3 (provided with permission) Pictured here are over 2500 stocks and ETFs’ price range forecast balances between upside and downside prospects. Normally the distribution would be centered around a Range Index of 40 instead of 21 (40% of the range to the downside, 60% up) with no or few screaming bargains on the left. Market outlook implication: fear has taken over, but may be fatiguing for lack of downside opportunity. If so, SVXY could again be attractive – but we’ll wait for October to decide. Share this article with a colleague

A Most Competitive Wealth-Builder ETF Investment Today

Summary From a population of some 350 actively-traded, substantial, and growing ETFs this is a currently attractive addition to a portfolio whose principal objective is wealth accumulation by active investing. We daily evaluate future near-term price gain prospects for quality, market-seasoned ETFs, based on the expectations of market-makers [MMs], drawing on their insights from client order-flows. The analysis of our subject ETF’s price prospects is reinforced by parallel MM forecasts for each of the ETF’s ten largest holdings. Qualitative appraisals of the forecasts are derived from how well the MMs have foreseen subsequent price behaviors following prior forecasts similar to today’s. Size of prospective gains, odds of winning transactions, worst-case price drawdowns, and marketability measures are all taken into account. Today a most attractive ETF Is the SPDR Biotech ETF (NYSEARCA: XBI ). The investment seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of an index derived from the biotechnology segment of a U.S. total market composite index. In seeking to track the performance of the S&P Biotechnology Select Industry Index (the “index”), the fund employs a sampling strategy. It generally invests substantially all, but at least 80%, of its total assets in the securities comprising the index. The index represents the biotechnology industry group of the S&P Total Market Index (“S&P TMI”). The fund is non-diversified. The fund currently holds assets of $2.71 billion and has had a YTD price return of +35.66%. Its average daily trading volume of 1,126,650 produces a complete asset turnover calculation in 9.4 days at its current price of $255.09. Behavioral analysis of market-maker hedging actions while providing market liquidity for volume block trades in the ETF by interested major investment funds has produced the recent past (6 month) daily history of implied price range forecasts pictured in Figure 1. Figure 1 (used with permission) The vertical lines of Figure 1 are a visual history of forward-looking expectations of coming prices for the subject ETF. They are NOT a backward-in-time look at actual daily price ranges, but the heavy dot in each range is the ending market quote of the day the forecast was made. What is important in the picture is the balance of upside prospects in comparison to downside concerns. That ratio is expressed in the Range Index [RI], whose number tells what percentage of the whole range lies below the then current price. Today’s Range Index is used to evaluate how well prior forecasts of similar RIs for this ETF have previously worked out. The size of that historic sample is given near the right-hand end of the data line below the picture. The current RI’s size in relation to all available RIs of the past 5 years is indicated in the small blue thumbnail distribution at the bottom of Figure 1. The first items in the data line are current information: The current high and low of the forecast range, and the percent change from the market quote to the top of the range, as a sell target. The Range Index is of the current forecast. Other items of data are all derived from the history of prior forecasts. They stem from applying a T ime- E fficient R isk M anagement D iscipline to hypothetical holdings initiated by the MM forecasts. That discipline requires a next-day closing price cost position be held no longer than 63 market days (3 months) unless first encountered by a market close equal to or above the sell target. The net payoffs are the cumulative average simple percent gains of all such forecast positions, including losses. Days held are average market rather than calendar days held in the sample positions. Drawdown exposure indicates the typical worst-case price experience during those holding periods. Win odds tells what percentage proportion of the sample recovered from the drawdowns to produce a gain. The cred(ibility) ratio compares the sell target prospect with the historic net payoff experiences. Figure 2 provides a longer-time perspective by drawing a once-a week look from the Figure 1 source forecasts, back over two years. Figure 2 (used with permission) What does this ETF hold, causing such price expectations? Figure 3 is a table of securities held by the subject ETF, indicating its concentration in the top ten largest holdings, and their percentage of the ETF’s total value. Figure 3 source: Yahoo Finance XBI apparently takes a low-concentration approach to holdings, with an average of 1½% of its assets in each of its top ten commitments. This provides a wide dispersion of holdings among competitive contestants in an industry where success rewards can be huge, while failures tend to be complete. If the remaining 88% of assets are distributed on a 1% basis over 85 separate additional bets may be made, offering great diversification, as well as dilution of encountered bonanzas. Where ultimate payoffs are less dependent on initial capital commitment size, this may be an advantaged strategy. Figure 4 is a table of data lines similar to that contained in Figure 1, for each of the top ten holdings of XBI. Figure 4 (click to enlarge) In an industry as unpredictably dynamic as this, wide variations in market experience seem to be the rule. Column (5) contains the upside price change forecasts between current market prices and the upper limit of prices regarded by MMs as being worth paying for price change protection. The average of +18.9% of the top ten XBI holdings is well above the population average of all 2500+ equities MM forecasts of +12.6%. It is about triple the upside forecast for the SPDR S&P 500 Trust ETF ( SPY) price change prospects. The other side of the coin is column (6), which shows what actual worst-case price drawdowns have been typical in the 3 months following each time there has been a forecast like those of the present day. Those risk exposures have averaged -10% in the holdings top ten, worse than -8.6% by equities at large, and only -3.3% on the SPY ETF. But these holdings have attractive reward tradeoffs between returns and risks, with the top ten (column 14) at a ratio of 1.8, compared to equities overall at 1.5 times. Still, the market average of SPY provides a best ratio of 2.1 times risk avoidance, at a cost of small reward. Another qualitative consideration is the credibility of the ten XBI big holdings after previous forecasts like today’s. The net average price change (column 13) of the ten has been 0.8 times the size of the upside forecast average, +18.9% compared to +15.6%. The equity population’s actual price gain achievement, net of losses has been a pitiful +3.4% compared to promises of 12.6%. The ability of XBI holdings to recover from those worst-case drawdowns and achieve profits occurred in 70% of experiences. The equity population only recovered less than two thirds of the time, and while the SPY experiences were more resistant than the ten XBI holdings, the achieved gains were much smaller. SPY has had only +3.7% gains previously from like forecasts of +6.8%. Conclusion XBI provides attractive forecast price gains, supported by its equally appealing largest holdings. Both the ETF and many of its major holdings offer very attractive prospects in near-term price behaviors, demonstrated by previous experiences following prior similar forecasts by market makers. The diversity of its holdings is very broad, providing a wide opportunity to share in constantly developing discoveries across the biotechnology field. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.